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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron

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About the Author

Alberto Boschetti Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a PhD in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges involving natural language processing (NLP), machine learning, and probabilistic graph models everyday. He is very passionate about his job and he always tries to stay updated on the latest developments in data science technologies by attending meetups, conferences, and other events.Luca MassaronLuca Massaron is a data scientist and marketing research director who specializes in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience in solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top 10 Kaggler, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and nonexperts. Favoring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science by understanding its essentials.

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Product details

Paperback: 258 pages

Publisher: Packt Publishing (April 30, 2015)

Language: English

ISBN-10: 1785280422

ISBN-13: 978-1785280429

Product Dimensions:

7.5 x 0.6 x 9.2 inches

Shipping Weight: 1.2 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

6 customer reviews

Amazon Best Sellers Rank:

#903,426 in Books (See Top 100 in Books)

I am a senior engineer with years of experience working primarily in C, C#, perl, and T-SQL. I have basic python, and dusty memories of two years of college math. In the last year, my data set has ballooned at the rate of 1Tb every two months and will soon exceed the handling capacity of my old analytics stack. Blessed by my manager with a shiny new hadoop cluster and time to study, I'm learning new tricks. This book is one of the first I found, and for me it was perfect. It reads like a walk-through from a smart coworker: enough to get me going, the most important moving parts, a few gotchas, where to go for help, some simple working examples... It got me moving on my first project in just a few hours. This is the book I'd have written for myself.

It is the book I wish I had available when I was starting a recent research project.In little more than 200 pages it delivers the essential you need to know if you want to do data science and use Python for that (and you should, the authors suggest!). The part of the book I have particularly appreciated is the list of problems you have to face in practice and the proposed solution: loading your data in a fast and easy way by different sources, for instance, or the way to build and tune complex machine learning models for regression and classification problems. Your data can't fit into memory? It happens, as you know. Well there's a paragraph just for that and there are clear and efficient coding examples to solve the problem. I feel safer with this book with so many examples and solutions. Some books I was looking for help in my projects. This one appears to be very useful.Carlo.

compared with other data science book in python, this one is thinner but still comprehensive. Not the best if you want to start learning all the tools and methods, but great for reviewing and refreshing what you've learnt from other places

Although I am an experienced Data Scientist who knows well Python's stack for Data Science (scikit-learn, pandas, statsmodels, numpy, scipy, matplotlib, IPython), this book captured my attention and I have read a half of it during the first two days after getting the book. This book is easy to read for novices and experts alike (it does not contain a lot of math and wherever there are formulas they are not difficult to grasp), though some familiarity with Python packages comprising the Data Science stack will greatly facilitate material understanding. The writing style authors chose is excellent as it teaches readers in a very logical and pedagogically appealing way: the way of data pre-processing and analysis occur in projects that data scientists and engineers often encounter when aiming to solve the real-worlds tasks.The books begins with a description of how to install Python and various packages needed to run the code. The purpose of these packages is also explained. Different Python distributions are briefly discussed together with their characteristics, so that a reader can select a distribution particularly suitable to his/her needs. As all code examples in the book are run in IPython Notebook, special attention is paid to a short but comprehensive introduction into IPython itself. Data sets used in the book are described too.After advising on installation of Python and its packages, the book guides readers towards fast and easy data loading from a file, including the case when the entire data set cannot be loaded during one read in the memory and the solution offered is to load it in chunks by using pandas.Furthermore, answers to the following problems are provided: how to deal with erroneous records, how to treat categorical and text data, what are useful data cleansing and transformation operations implemented in pandas, how to use the optimized data structures - numpy arrays - and what operations on them can be done.Once data is loaded and converted to a suitable representation, the book then spends a chapter on the general Data Science pipeline that can be implemented with scikit-learn. The pipeline includes dimensionality reduction via either feature extraction or feature selection, outlier detection, predictive modeling (classification and regression), optimization of model's hyper-parameters, and model's performance evaluation. This material creates the holistic view what typical data analysis is comprised of.The next chapter introduces several popular machine learning algorithms in detail. Among them are linear and logistic regression, Naive Bayes, support vector machines, bagging and boosting ensembles. Special attention is paid to scikit-learn solutions of the 3Vs of big data: namely, volume, velocity and variety. Scalability with volume is solved with incremental learning when at any given moment of time, only a portion (batch) of the entire data fit to the available memory is used to update a model, hence, a model learns incrementally as new batches arrive. To keep up with velocity, scikit-learn offers a number of classification and regression algorithms optimized for speed. Data variety is deal with the help of hashing and sparse matrices. The chapter ends with short examples of doing basic operations of Natural Language Processing with the NLTK package and data clustering.Final two chapters are devoted to social network analysis with the NetworkX package and data visualization with the matplotlib and pandas packages, respectively.Although I have both paper and electronic versions of this book, I would advise first to buy the paper version as numerous code is much easier to understand in this format because one can see the entire snapshot at once.

In the first 2 chapters there are four errors in the programs that are used as examples. I sent three requests including screenshots of the errors to the support link for assistance with only one response which was that they would send my issue to the author. I never heard back. It has a publishing date of April 2015 yet is does not address the change of ipython notebook to jupyter. The book is junk! Don't waste your money!

The book covers fundamentals of Data Science. Code for the book is available from the publisher. I used Anaconda Launcher which nicely converted the notebooks to jupyter and ran them well. My favorite chapter was chapter five Social Network Analysis. I like the table on graph examples, type, node and edges. It is useful for writing code.

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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF

Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF

Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF

Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python, by Alberto Boschetti Luca Massaron PDF

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Free Download My Lost Brothers: The Untold Story

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A gripping first-person account by the sole survivor of Arizona's disastrous 2013 Yarnell Hill Fire, which took the lives of 19 "hotshots"--firefighters trained specifically to battle wildfires.

Brendan McDonough was on the verge of becoming a hopeless, inveterate heroin addict when he, for the sake of his young daughter, decided to turn his life around. He enlisted in the Granite Mountain Hotshots, a team of elite firefighters based in Prescott, Arizona. Their leader, Eric Marsh, was in a desperate crunch after four hotshots left the unit, and perhaps seeing a glimmer of promise in the skinny would-be recruit, he took a chance on the unlikely McDonough, and the chance paid off. Despite the crew's skepticism, and thanks in large part to Marsh's firm but loving encouragement, McDonough unlocked a latent drive and dedication, going on to successfully battle a number of blazes and eventually win the confidence of the men he came to call his brothers.

Then, on June 30, 2013, while McDonough--"Donut" as he'd been dubbed by his team--served as lookout, they confronted a freak, 3,000-degree inferno in nearby Yarnell, Arizona. The relentless firestorm ultimately trapped his hotshot brothers, tragically killing all 19 of them within minutes. Nationwide, it was the greatest loss of firefighter lives since the 9/11 attacks.

My Lost Brothers is a gripping memoir that traces McDonough's story of finding his way out of the dead end of drugs, finding his purpose among the Granite Mountain Hotshots, and the minute-by-minute account of the fateful day he lost the very men who had saved him. A harrowing and redemptive story of resilience in the face of tragedy, My Lost Brothers is also a powerful reminder of the heroism of the people who put themselves in harm's way to protect us every day.

• Sales Rank: #107490 in Books
• Published on: 2016-05-03
• Released on: 2016-05-03
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x 1.00" w x 6.25" l, .0 pounds
• Binding: Hardcover
• 288 pages

Review
"My Lost Brothers is a harrowing story of heroism in the face of natural disaster. It perfectly illustrates the kind of teamwork and camaraderie that informed the legendary squad of hotshots working to save--in this case--their hometown from utter destruction by fire. As perhaps the least likely guy ever to become a hotshot, Brendan McDonough more than lives up to his role after having been taken underwing by Granite Mountain leader Eric Marsh. That he has been able to keep on even keel as the Yarnell Hill Fire's lone survivor, having lost his mentor and his best friends, speaks volumes about his character and is a lasting testimony to the strength of his lost brothers."―Ed Viesturs, bestselling author of The Mountain: My Time on Everest

"Gear up with Brendan McDonough and his brothers in the elite Granite Mountain crew of wildland firefighters. Suspenseful and intense, My Lost Brothers sears to the heart. Nonfiction writing at its best."―Stephen Templin, New York Times-bestselling author of SEAL Team Six and Trident's First Gleaming

"For an East Coast guy like me this book was a real education in wildfires, and the last few chapters were a terrifying lesson in how they can do the unpredictable. I was left with nothing but admiration for the Granite Mountain hotshot crew who put their lives on the line to protect the town of Yarnell."―Michael Tougias, New York Times-bestselling co-author of The Finest Hours and So Close to Home

"This is a new breed of war story, of the citizen soldiers who stand between life and death, the forest and the fire. Through burnt moonscapes, in air choked with ash, they face flames as tall as towers and say, 'You shall not pass.' Powerful and lasting, this is a story of men who gave their all."―Adam Makos, New York Times-bestselling author of A Higher Call

"With his insightful barbs aimed at our increasingly unrealistic ideal of life in the West and the many ways in which wildland firefighters are let down by those who fund and rely upon them, and brutally honest assessment of his struggles with PTSD, McDonough gives readers a unique and bracing literary experience.―Booklist

"The dangers of battling fires on the ground and air are many and McDonough thrillingly explains the terror and panic of the fateful June 30, 2013 tragedy at Yarnell Hill, where all 19 of his crew members perished, leaving him with painful survivor's guilt. But strong support propelled him into a new life of grace and renewal."―Publishers Weekly

"[My Lost Brothers] is sure to captivate readers . . . Brendan McDonough had a very unusual story to tell, and he has done it well."―Bookreporter.com

About the Author
Brendan McDonough is the only survivor of the 2013 fire at Yarnell. Today he is a public speaker and works with numerous nonprofits for veterans, police officers, firefighters, and emergency medical services. He lives in Prescott, Arizona.

Stephan Talty is the co-author of A Captain's Duty, which was the basis for the film Captain Phillips, and wrote the New York Times bestseller Empire of Blue Water. He lives in Montclair, New Jersey.

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Get Free Ebook Pro OGRE 3D Programming (Expert's Voice in Open Source)

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• Amazon Sales Rank: #2905328 in Books
• Brand: Brand: Presidio Pr
• Published on: 1992-12
• Original language: English
• Number of items: 1
• Dimensions: 9.50" h x 6.50" w x 1.00" l,
• Binding: Hardcover
• 272 pages

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From Publishers Weekly This second collection of retired Army major general Newman's "Forward Edge" columns from Army magazine is organized into three sections: "Primarily Company-Level Topics," "Principles for All Levels of Command" and "Reflections on Combat Situations." Each is rich in lessons and observations on leadership techniques, usually conveyed through anecdote or recollection, that are often applicable in the civilian sector as well as the military. With humor, warmth and common sense, Newman discusses the importance of developing writing and public-speaking skills; how to deal with unreasonable orders; how to manage the paper work that deluges the military officer (and the middle manager); how to plan for retirement, and other topics of general interest. The combat-oriented articles cover such subjects as the importance of the bayonet, the origins of combat courage and the proper position for a commander during battle. Copyright 1992 Reed Business Information, Inc.

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Review

"I hate Top Ten lists and am existentially opposed to numerically rating television shows, so this book is my worst nightmare! You should buy it anyway, because Alan and Matt are shrewd, witty, and insightful critics, even if they are wrong about Cheers being better than 30 Rock."―Emily Nussbaum, The New Yorker "What fun to dive into a book that not only inspires but invites debate over your favorite TV shows. Which ones truly deserve to be in the Pantheon? Which ones did or didn't make the cut? Any book that celebrates everything from The Sopranos to Rocky and Bullwinkle gets my attention...and deserves yours."―Leonard Maltin, film critic/ historian"It's the Golden Age of TV, yes, but TV: THE BOOK shows we are also in the Golden Age of TV criticism. In the same way so many of us made Leonard Maltin's Movie Guide or Pauline Kael's or David Thomson's review collections our film bibles, readers will be poring over this magnificent volume for years to come. An essential, provocative, and irresistible tome from two of our greatest critics." ―Megan Abbott, bestselling author of The Fever and You Will Know Me

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About the Author

Critics Alan Sepinwall and Matt Zoller Seitz have been writing together since 1997, when they were paired up on the TV beat at the Star-Ledger of Newark, New Jersey, the newspaper at the end of Tony Soprano's driveway.Matt Zoller Seitz is a finalist for the Pulitzer Prize in criticism, the TV critic for New York Magazine and Vulture.com, the editor in chief of RogerEbert.com, and the author of books on television and cinema, including Mad Men Carousel, The Wes Anderson Collection, and The Oliver Stone Experience. Alan Sepinwall is the TV critic for HitFix.com and the author of The Revolution Was Televised. Sepinwall's episode-by-episode approach to reviewing his favorite TV shows "changed the nature of television criticism," according to Slate, which called him "the acknowledged king of the form."

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Product details

Paperback: 432 pages

Publisher: Grand Central Publishing (September 6, 2016)

Language: English

ISBN-10: 1455588199

ISBN-13: 978-1455588190

Product Dimensions:

6 x 1.2 x 9 inches

Shipping Weight: 15.2 ounces (View shipping rates and policies)

Average Customer Review:

4.2 out of 5 stars

80 customer reviews

Amazon Best Sellers Rank:

#353,197 in Books (See Top 100 in Books)

While I have quibbles with the order of their list, it's hard to argue that these two authors don't love TV and didn't do their research. Shows that I had forgotten about made the list, as well as shows that I never thought I'd see on any best-of list, and that was a pleasant surprise. Some of the essays are surprisingly short, but no show that I thought had to be on the list was left out, so I can't have too many complaints.The show with what I thought was the best finale ever was actually the show they chose for that as well. If you've seen the show, then I don't even think you could argue for anything else. (Spoiler-free review. Buy the book if you want to know which show.)I also appreciated that no currently airing show was considered, as any kind of art needs some time to be fully appreciated.If you love TV now (or have in the past), you should't hesitate to buy this book.

I have enjoyed reading Sepinwall's episode reviews for many shows, such as Lost, Mad Men, Game of Thrones, and so forth. I also enjoyed Zoller Seitz' book of critical commentaries on Mad Men, so I knew that TV (The Book) would be an enjoyable read for me.This is a valuable book for thinking about TV in a serious, intelligent way rather than merely looking down upon TV as idle trash. Sepinwall and Zoller Seitz' opening debate is excellent to read. I loved reading about their views on the merits of The Sopranos versus The Wire versus The Simpsons as the greatest show of all time. I learned about many new shows as I read through their ranking of the best 100 shows in American history. I have added some new shows to my list of series that I need to watch some day (Freaks and Geeks, Twin Peaks, Buffy the Vampire Slayer, etc).I would say the only drawback to the book is that it became a little tedious to read every review and every page, especially for shows which I do not really plan on ever watching. However, overall I would recommend this book to anyone interested in TV in a serious way, or if you are just looking to learn about important shows that you might have missed. Their writing is clear, often witty and humorous, and enlightening.

The book is interesting for the most part and I have enjoyed plugging though it. I appreciate their efforts in trying to rank the greats of all time in television, but it sure "feels" front loaded. What I mean is that most of the "best shows ever" are super recent in the grand scope of television history. I understand that television has taken an upward swing in quality, in many cases, but there are shows that somehow have been pushed down the list of these gentlemen, that frankly shouldn't be.If you are person who loves lists, as I do, this book will satisfy your need to disagree with their results (if you are anything like me). So, enjoy and I look forward to seeing your review.

A superb reference with respect to television's finest examples of drama and comedy. In addition, a very stimulating, seriously thoughtful, and keenly observed dissection of the qualities that made the selected shows so special and/or influential. Nice (and rare) to have such scholarly, thoughtful analysis that (in all but a few instances) is as understandable and accessible as it is sophisticated.

If you're an entertainment geek and enjoy debating and discussing television or movies, you'll enjoy this book. I don't agree with all of their rankings and even strongly disagree with some, but these guys make their cases for and against shows in an engaging way. It's the kind of book where you'll read their take on a show you love and shake your head and say "Exacty!," or read their take on a show you hate and say out loud, "What is he smoking?" But that's fun. You feel like you're involved in a discussion. I liked it.

I am not American, and as such I have not seen most of the TV shows in the "Pantheon". But I do have a certain affinity for scripted TV, an affinity that has grown to the uber-availability of content these days. I started actively watching TV shows in 2005, and haven't stopped since. Luckily, just about that time the so-called "Golden Era of TV" was about to burst, and burst it did.This book is terrific in that regard and it manages to scale down all the shows and presents a great starting point for anyone who wants to start watching great TV. Not to mention it has amazing insights into shows I already love and adore (hello there Cheers, hey, good seeing you Tony!). Sepinwall and MZS do a great job in carrying across their thoughts and while ranking such a subjective thing as fiction is inherently difficult, they make it fun and inclusive. I loved their scoring model, which they explain in detail at the beginning of the book, not to mention the essays accompanying each show. The clarity of their thoughts makes the reader want to see the show so bad. I wanna rewatch half the shows I watched after reading this book. It invokes that feeling!All in all, a great read for TV fans, old and new, young and old, novices and buffs.

If you are a fan of television then this book is a must read. Not only for the lists but for suggestions of shows to catch up on that you might have missed. The authors give cogent reasons for where they rank each show. While I did not always agree with the rankings I respected the rankings because they defended each one in an intelligent manner.The book had more depth than one would expect. It was an enjoyable read.

I didn't always agree with the placements of shows in this book, but both Sepinwall and Seitz are excellent writers who do a good job of providing a reason as to why everything on their list was good and mattered to the history of American television. I also appreciated how much they provided coverage to plenty of shows that were made before THE SIMPSONS and TWIN PEAKS came along. Sometimes, it feels as if everyone just forgot that there were good American television before George HW Bush became President.

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TV (The Book): Two Experts Pick the Greatest American Shows of All Time, by Alan Sepinwall PDF

TV (The Book): Two Experts Pick the Greatest American Shows of All Time, by Alan Sepinwall PDF

TV (The Book): Two Experts Pick the Greatest American Shows of All Time, by Alan Sepinwall PDF

TV (The Book): Two Experts Pick the Greatest American Shows of All Time, by Alan Sepinwall PDF

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Download Ebook Supply Management

Download Ebook Supply Management

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Supply Management

Download Ebook Supply Management

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About the Author

Distinguished Professor of Supply Chain Management and Director of the University of San Diego's undergraduate and graduate programs in supply chain management. He is founder and Director of USD's Supply Chain Management Institute and of the Strategic Supply Management Forum, an annual meeting of innovative supply management professionals from North America, Europe and Australia.

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Product details

Series: Irwin Operations/Decision Sciences

Hardcover: 640 pages

Publisher: McGraw-Hill Education; 8th edition (January 5, 2009)

Language: English

ISBN-10: 0073381454

ISBN-13: 978-0073381459

Product Dimensions:

7.6 x 1.1 x 9.2 inches

Shipping Weight: 2.4 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

28 customer reviews

Amazon Best Sellers Rank:

#266,108 in Books (See Top 100 in Books)

Buying school books sucks. It's just another way that students become more and more in debt trying to get an education. I turned to Amazon for my last 3 courses and did rather well. Saving quite a bit over my college bookstore prices. However, this book was extremely much more expensive than any of the prior books ordered on Amazon. I figured that either it was enormous, or much larger in size (page length/width) than normal books, so proceeded with my order. I paid 160$ for this tiny, little, used book. Are you kidding me???? Not only was it used, it was written 9 years ago, isn't even a normal 9x6" size, and barely an inch thick. What the heck did I just pay for???? This was ridiculous. Looks like my education has taught me nothing thus far.

Great Product, great price, fast delivery

This book is POORLY structured for an Introductory Procurement course. Very unorganized. I DO NOT recommend

I am sure there are more books out there that make supply management much easier to grasp and enjoy. I found this book boring and somewhat out of date.

If you have a class and have to read it, you just have to read it. It's loaded with great information, but it will hurt you a little in the process of extracting it. It is a little dry. Buy hey, good things come from hard work. So get to reading it....

International version - no different than the actual text - pages are the same. Would recommend.

Slow search is the only thing that prevents it from getting 5 star, but that seems to be an issue with the Kindle textbook format.

Good book. I learned a great deal from it.

Supply Management PDF
Supply Management EPub
Supply Management Doc
Supply Management iBooks
Supply Management rtf
Supply Management Mobipocket
Supply Management Kindle

Supply Management PDF

Supply Management PDF

Supply Management PDF

Supply Management PDF

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